code: def save_model(model):
      import os
  
      # dummy folders as example
      os.makedirs("f1/f2")
      os.makedirs("f1/f3")
  
      # actual model
      model.save("./f1/f2/mnist.h5")
  
file_path: auptimizer/Examples/mnist_keras_save_model/mnist.py
imports: from aup import print_result, aup_args, aup_save_model
  import tensorflow
  import numpy
  from tensorflow import keras
  from tensorflow.keras import layers
  from math import log
  import sys
label_desc: Use image node_id 4 for calling a global function with example usage: save_model(model) without return types